Update app.py

app.py

@@ -124,7 +124,7 @@ igen=gr.Interface(keyphrase_generator,
                                                  'sentence-transformers/sentence-t5-large',
                                                  'sentence-transformers/sentence-t5-base'], 
                                         type="value", 
-                                        default='pritamdeka/S-Biomed-Roberta-snli-multinli-stsb', 
+                                        value='pritamdeka/S-Biomed-Roberta-snli-multinli-stsb', 
                                         label="Select any SBERT model for TextRank from the list below"),
                      gr.components.Dropdown(choices=['sentence-transformers/paraphrase-mpnet-base-v2',
                                                  'sentence-transformers/all-mpnet-base-v1',
@@ -141,33 +141,33 @@ igen=gr.Interface(keyphrase_generator,
                                                  'sentence-transformers/paraphrase-MiniLM-L3-v2',
                                                  'sentence-transformers/all-MiniLM-L6-v2'], 
                                         type="value", 
-                                        default='sentence-transformers/all-mpnet-base-v1', 
+                                        value='sentence-transformers/all-mpnet-base-v1', 
                                         label="Select any SBERT model for keyphrases from the list below"),                     
-                     gr.components.Slider(minimum=5, maximum=30, step=1, default=10, label="Max Keywords")],
+                     gr.components.Slider(minimum=5, maximum=30, step=1, value=10, label="Max Keywords")],
              outputs=gr.outputs.Textbox(type="text", label="Output"), theme="peach", 
              title="Health Article Keyphrase Generator", 
-             description="Generates the keyphrases from an online health article which best describes the article. ", #Examples are provided below for demo purposes. Choose any one example to see the results. ",
-             #examples=[
-             #            ["https://www.cancer.news/2021-12-22-mrna-vaccines-weaken-immune-system-cause-cancer.html",                        
-             #            'sentence-transformers/all-mpnet-base-v1',
-             #            'sentence-transformers/paraphrase-MiniLM-L12-v2',
-             #            10],
+             description="Generates the keyphrases from an online health article which best describes the article. Examples are provided below for demo purposes. Choose any one example to see the results. ",
+             examples=[
+                         ["https://www.cancer.news/2021-12-22-mrna-vaccines-weaken-immune-system-cause-cancer.html",                        
+                         'sentence-transformers/all-mpnet-base-v1',
+                         'sentence-transformers/paraphrase-MiniLM-L12-v2',
+                         10],
                          
-             #            ["https://www.cancer.news/2022-02-04-doctors-testifying-covid-vaccines-causing-cancer-aids.html#",                        
-             #            'sentence-transformers/all-mpnet-base-v1',
-             #            'sentence-transformers/all-mpnet-base-v1',
-             #            12],
+                         ["https://www.cancer.news/2022-02-04-doctors-testifying-covid-vaccines-causing-cancer-aids.html#",                        
+                         'sentence-transformers/all-mpnet-base-v1',
+                         'sentence-transformers/all-mpnet-base-v1',
+                         12],
                          
-             #            ["https://www.medicalnewstoday.com/articles/alzheimers-addressing-sleep-disturbance-may-alleviate-symptoms",
-             #            'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
-             #            'sentence-transformers/all-mpnet-base-v1',
-             #            10],
+                         ["https://www.medicalnewstoday.com/articles/alzheimers-addressing-sleep-disturbance-may-alleviate-symptoms",
+                         'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
+                         'sentence-transformers/all-mpnet-base-v1',
+                         10],
                          
-             #           ["https://www.medicalnewstoday.com/articles/omicron-what-do-we-know-about-the-stealth-variant",
-             #            'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
-             #            'sentence-transformers/all-mpnet-base-v1',
-             #            15]                      
-             #          ],
+                        ["https://www.medicalnewstoday.com/articles/omicron-what-do-we-know-about-the-stealth-variant",
+                         'pritamdeka/S-Biomed-Roberta-snli-multinli-stsb',
+                         'sentence-transformers/all-mpnet-base-v1',
+                         15]                      
+                       ],
              article= "The work is based on a part of the paper provided <a href=https://dl.acm.org/doi/10.1145/3487664.3487701>here</a>." 
              "\t It uses the TextRank algorithm with <a href=https://www.sbert.net/>SBERT</a> to first find the top ranked sentences and then extracts the keyphrases" 
              "\t from those sentences using <a href = https://allenai.github.io/scispacy/>scispaCy</a> and SBERT."